Microarray Data Explorer
Info Raw gene Expression data is sourced from GEO, and the appropriate db package for mapping probes to gene symbols was sourced from the Bioconductor AnnotationData packages. You can read more about microarray data here.
Enter gene symbol:

Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
High-Fat Diet condition; Adult female B6.129 mice
GSM2501297 GSM2501298 GSM2501299
GSM2501291 GSM2501292 GSM2501293
Normal Diet condition; Adult female B6.129 mice
GSM2501294 GSM2501295 GSM2501296
GSM2501288 GSM2501289 GSM2501290
Description

Submission Date: Feb 23, 2017

Summary: We propose comparing liver gene expression of WT and female ERKO mice early in the high-fat feeding period to animals fed a regular chow diet. Analyzing liver tissue before the fatty liver disease phenotype becomes severe will allow identification of target genes which may be causal.

Comparison of regular chow fed WT animals to high fat fed WT animals will allow for identification of hepatic genes up-regulated in response to high fat feeding. Comparison of regular chow fed WT animals to regular chow fed ERKO animals will help clarify hepatic gene expression patterns that may be implicated in increased susceptibility to weight gain and glucose intolerance. Comparison of high fat fed WT animals to high fat fed ERKO animals will provide insight into genes that could be implicated in leading to increased fat accumulation in the liver over time during high fat feeding. Finally, comparison of regular chow fed ERKO animals to high fat fed ERKO animals will help identify genes that may be contributing to increased liver fat accumulation in response to high fat feeding in these animals.

GEO Accession ID: GSE95283

PMID: 28220039

Description

Submission Date: Feb 23, 2017

Summary: We propose comparing liver gene expression of WT and female ERKO mice early in the high-fat feeding period to animals fed a regular chow diet. Analyzing liver tissue before the fatty liver disease phenotype becomes severe will allow identification of target genes which may be causal.

Comparison of regular chow fed WT animals to high fat fed WT animals will allow for identification of hepatic genes up-regulated in response to high fat feeding. Comparison of regular chow fed WT animals to regular chow fed ERKO animals will help clarify hepatic gene expression patterns that may be implicated in increased susceptibility to weight gain and glucose intolerance. Comparison of high fat fed WT animals to high fat fed ERKO animals will provide insight into genes that could be implicated in leading to increased fat accumulation in the liver over time during high fat feeding. Finally, comparison of regular chow fed ERKO animals to high fat fed ERKO animals will help identify genes that may be contributing to increased liver fat accumulation in response to high fat feeding in these animals.

GEO Accession ID: GSE95283

PMID: 28220039

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

Signatures:

Select conditions:

Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
Select differential expression analysis method: